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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 29 citing articles:

The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review
Eman A Jafleh, Fatima A Alnaqbi, Hind A Almaeeni, et al.
Cureus (2024)
Open Access | Times Cited: 15
Virtuous and Vicious Cycles of Arm Use and Function Post-stroke
Belén Rubio Ballester, Carolee J. Winstein, Nicolas Schweighofer
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 24
Towards AI-based Precision Rehabilitation via Contextual Model-based Reinforcement Learning
Dongze Ye, Haipeng Luo, Carolee J. Winstein, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-design study
Philipp Gulde, Heike Vojta, Stephanie Schmidle, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial
Diogo Schwerz de Lucena, Justin B. Rowe, Shusuke Okita, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6938-6938
Open Access | Times Cited: 18
Comparing algorithms for assessing upper limb use with inertial measurement units
Tanya Subash, Ann David, StephenSukumaran ReetaJanetSurekha, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 17
Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review
Mariano Bernaldo de Quirós, E.H. Douma, Inge van den Akker‐Scheek, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1050-1050
Open Access | Times Cited: 15
Movement diversity and complexity increase as arm impairment decreases after stroke: Quality of movement experience as a possible target for wearable feedback
Shusuke Okita, Diogo Schwerz de Lucena, David J. Reinkensmeyer
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2961-2970
Open Access | Times Cited: 2
Hand Grasp Classification in Egocentric Video After Cervical Spinal Cord Injury
Mehdy Dousty, David J. Fleet, José Zariffa
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 645-654
Closed Access | Times Cited: 6
The Evolution of Hand Proprioceptive and Motor Impairments in the Sub-Acute Phase After Stroke
Monika Zbytniewska-Mégret, C Salzmann, Christoph M. Kanzler, et al.
Neurorehabilitation and neural repair (2023) Vol. 37, Iss. 11-12, pp. 823-836
Open Access | Times Cited: 5
Wearable Sensors for Stroke Rehabilitation
Catherine Adans-Dester, Catherine E. Lang, David J. Reinkensmeyer, et al.
Springer eBooks (2022), pp. 467-507
Closed Access | Times Cited: 8
Recognizing hand use and hand role at home after stroke from egocentric video
Meng-Fen Tsai, Rosalie H. Wang, José Zariffa
PLOS Digital Health (2023) Vol. 2, Iss. 10, pp. e0000361-e0000361
Open Access | Times Cited: 4
Therapists and patients perceptions of a mixed reality system designed to improve trunk control and upper extremity function
Mandy Scheermesser, Daniel Baumgärtner, Irina Nast, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Real-Time Sensing of Upper Extremity Movement Diversity Using Kurtosis Implemented on a Smartwatch
Guillem Cornella-Barba, Shusuke Okita, Zheng Li, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5266-5266
Open Access | Times Cited: 1
Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review
Ciro Mennella, Susanna Alloisio, Antonio Novellino, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 199-199
Open Access | Times Cited: 8
Validity of Novel Outcome Measures for Hand Function Performance After Stroke Using Egocentric Video
Meng-Fen Tsai, Rosalie H. Wang, José Zariffa
Neurorehabilitation and neural repair (2023) Vol. 37, Iss. 2-3, pp. 142-150
Open Access | Times Cited: 3
Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications
Shusuke Okita, Roman Yakunin, Jathin Korrapati, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5690-5690
Open Access | Times Cited: 3
Movement diversity and complexity increase as arm impairment decreases after stroke: Quality of movement experience as a possible target for wearable feedback
Shusuke Okita, Diogo Schwerz de Lucena, David J. Reinkensmeyer
(2023)
Open Access | Times Cited: 3
Facilitating limb movement after stroke
David J. Reinkensmeyer, Andria J. Farrens, Derek G. Kamper
Nature Medicine (2023) Vol. 29, Iss. 3, pp. 535-536
Closed Access | Times Cited: 2
Perspectives and expectations of stroke survivors using egocentric cameras for monitoring hand function at home: a mixed methods study
Meng-Fen Tsai, Sharmini Atputharaj, José Zariffa, et al.
Disability and Rehabilitation Assistive Technology (2022) Vol. 19, Iss. 3, pp. 878-888
Closed Access | Times Cited: 3
Computational Neurorehabilitation
Nicolas Schweighofer
Springer eBooks (2022), pp. 345-355
Closed Access | Times Cited: 3
The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period – an explorative observational study
Eric Lyckegård Finn, Håkan Carlsson, Petter Ericson, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access
Piezoelectric Energy Harvesting: From Fundamentals to Advanced Applications
Rahul Bhatnagar, Varsha Yadav, Upendra Kumar, et al.
Energy Technology (2024)
Closed Access
Understanding preferences of stroke survivors for feedback provision about functional movement behavior from wearable sensors: a mixed-methods study
Marika Demers, Amelia Cain, Lauri Bishop, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Use of Technology in the Assessment and Rehabilitation of the Upper Limb After Cervical Spinal Cord Injury
José Zariffa, Michelle L. Starkey, Armin Curt, et al.
Springer eBooks (2022), pp. 57-87
Closed Access | Times Cited: 2
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